Define the population parameters that you will be testing.

The project is about comparing the population mean weight of baby boys with the population mean weight of baby girls. So, we want to know if there is a difference between the weight of boys and the weight of girls on average.Perform the two-tailed hypothesis test and construct a confidence interval for the difference of the population means. What do you need for the hypothesis test:On a different piece of paper you will need to write the following: Stated what do you want to test (what is the problem about)Define the population parameters that you will be testingState the null and alternate hypothesis using mathematical symbolsState the significance levelState the conditions for normal distribution and whether or not they are fulfilled. Write down the formula (from the chapter 11 table)Preview the document that you will be using to calculate the test statistic. Plug in the appropriate numbers (you can use the calculator functions under the STAT menu, to find the actual numerical value and degrees of freedom if needed). Based on your alternate hypothesis, draw the z or t distribution as appropriated and shade in the appropriate area(s) Write the appropriate formula that will be used to calculate the p-value (here you will need to use the normalcdf, tcdf, invNorm or invT as appropriate.)Write in words the statistical meaning of the p-value What do you need for the confidence interval On a different piece of paper you will be construction a confidence interval for the difference of the two mean compared above. The work for the confidence interval should include: State the confidence level that you will use for the confidence interval (any confidence level 90% or above is acceptable). Write down the formula that you need to use (from the chapter 10 tablePreview the document) to calculate the confidence interval, and plug in the appropriate numbers. Show the appropriate work for finding the critical value (you need to show which of the following functions -normalcdf, tcdf, invNorm or invT – you are using and write down how you use it). Draw the z or the t distribution and shade the appropriate area. Calculate the confidence interval. You may use the calculator functions under the STAT menu to find the lower and the upper limit of the interval. Interpret the confidence intervalExplain what the confidence interval means in the context of your problem. Based on your confidence interval can you decide which mean is bigger. Explain